Author:
Shalev-Shwartz Shai,Singer Yoram
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference23 articles.
1. Azoury, K., & Warmuth, M. (2001). Relative loss bounds for on-line density estimation with the exponential family of distributions. Machine Learning, 43(3), 211–246.
2. Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge: Cambridge University Press.
3. Bregman, L. M. (1967). The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming. USSR Computational Mathematics and Mathematical Physics, 7, 200–217.
4. Censor, Y., & Zenios, S. A. (1997). Parallel optimization: theory, algorithms, and applications. New York: Oxford University Press.
5. Cesa-Bianchi, N., Conconi, A., & Gentile, C. (2002). On the generalization ability of on-line learning algorithms. In Advances in neural information processing systems (Vol. 14, pp. 359–366).
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